Recorded at SpringOne2GX 2014.

Speaker: Peter Niederwieser

More Groovy Track

Slides: http://www.slideshare.net/SpringCentral/testing-java-groovy-spring-and-web-applications-with-spock

Spock is a popular testing framework (mainly) for Java and Groovy applications. After a short introduction, I will discuss Spock's Java and Groovy specific features, will show how Spock can be used for integration testing of Spring applications, and how combining it with Geb yields a powerful solution for acceptance testing of web applications. Finally, I will demonstrate how Spock can be extended to build out the test infrastructure for your project, and will showcase the latest features planned for the mythical Spock 1.0 release.

Recorded at SpringOne2GX 2014.

More Groovy Track

Slides: http://www.slideshare.net/SpringCentral/databases-withgroovy-paulkingoct2013

This talk reviews the features in Groovy which make it easy to work with databases. It reviews the features of Groovy SQL including Groovy's LINQ-like lazy evaluation technology called datasets. In addition, it looks at working with a couple of NoSQL databases: MongoDB (using GMongo) and Neo4J (using it's Java api and via Gremlin support).

Recorded at SpringOne2GX 2014.

Speaker: Graeme Rocher

Core Groovy Track

Slides: http://www.slideshare.net/SpringCentral/2-gx-2014-making-spring-boot-groovier

In this talk Grails project lead Graeme Rocher will show how you can leverage key technologies from the Groovy and Grails communities to become even more productive with Spring Boot.

Recorded at SpringOne2GX 2014.

Speaker: Thomas Risberg

Big Data Track

Slides: http://www.slideshare.net/SpringCentral/spring-one2gx-2014springforapachehadoop

Leverage your existing Java and Spring skills when making the jump to write applications and workflows for Apache Hadoop. In this presentation we will introduce the Spring for Apache Hadoop project and see how it can make developing workflows with Map Reduce, Hive and Pig jobs easier, while providing portability across ASF, Cloudera, HortonWorks, and Pivotal distros. We'll also look at integration with Spring XD, batch jobs and external data sources. In addition to all this we'll show how use a mini-cluster to test your new Hadoop workflows without having to deploy to a full cluster.

Recorded at SpringOne2GX 2014.

Speaker: Guillaume LaForge

Core Groovy Track

Slides: http://www.slideshare.net/SpringCentral/groovy-in-thelightofjava8

With Java 8 out the door, Java developers can, at last, benefit from the long-awaited lambdas, to taste the newly-found functional flavor of the language. Streams are there to work more easily and efficiently with heaps of data. Those things are not new to developers acquainted with Groovy. But what is left to Groovy to make it attractive beyond all the aspects Java has caught up with Groovy?

Recorded at SpringOne2GX 2014.

Speaker: Dan Woods, NetFlix

More Groovy Track

Slides: http://www.slideshare.net/SpringCentral/4pieter-springone2gx2014groovysysadmins

Enterprise Operations is seeing a shift in the management paradigm of infrastructure, from the more-traditional server-centric design, to an approach that leverages the application stack as the custodian for administration.

Fastest Servlets in the West?

Recorded at SpringOne2GX 2014.

Speakers: Stuart Willliams, Daniel Mikusa

Slides: http://www.slideshare.net/SpringCentral/williams-fastest-servlets-in-the-west

Applied Spring Track

The venerable Servlet Container still has some performance tricks up its sleeve - this talk will demonstrate Apache Tomcat's stability under high load, describe some do's (and some don'ts!), explain how to performance test a Servlet-based application, troubleshoot and tune the container and your application and compare the performance characteristics of the different Tomcat connectors. The presenters will share their combined experience supporting real Tomcat applications for over 20 years and show how a few small changes can make a big, big difference.

Recorded at SpringOne2GX 2014.

Speaker: Craig Walls

Slides: http://www.slideshare.net/SpringCentral/booting-up-spring-social

Applied Spring Track

In recent years, people are using social networks like Facebook and Twitter to connect, meet, and share experiences and ideas. But it's not just people making connections; modern applications are also leveraging the APIs provided by the social networks to connect with their users and customers. It's hard to find applications these days that aren't somehow connected to their users via social APIs. Spring Social is an extension to the Spring Framework that enables you to create applications that connect with APIs. With it, your application can offer social login, learn about its users' interests, and inject itself into their social graph. In this session, we'll take a look at the latest that Spring Social has to offer, including integration with Spring Security, automatic reconnect, and a dramatically simpler configuration model using Spring Boot.

Recorded at SpringOne2GX 2014.

Speaker: Roman Shaposhnik

Big Data Track

Slides: http://www.slideshare.net/SpringCentral/hadoop-201-deeper-into-the-elephant

This session expands on the previous year's "Hadoop: Just the Basics for Big Data Rookies", diving deeper into the details of key Apache Hadoop projects. We will start with a brief recap of HDFS and MapReduce, then discuss more advanced features of HDFS, in addition to how YARN has enabled businesses to massively scale their systems beyond what was previously possible. We will then discuss Apache HBase, the non-relational database modeled after Google's BIg table, review the data model, architecture, and common use cases. By the end of this session, you will learn how these three core Hadoop projects are used to solve even the most challenging Big Data problems.